Machine learning contextual approach to word determination...

Data processing: speech signal processing – linguistics – language – Linguistics – Natural language

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C704S010000

Reexamination Certificate

active

07103534

ABSTRACT:
Determination of a word input on a reduced keypad, such as a numeric keypad, by entering a key sequence ambiguously corresponding to the word, by taking into account the context of the word via a machine learning approach, is disclosed. Either the left context, the right context, or the double-sided context of the number sequence can be used to determine the intended word. The machine learning approach can use a statistical language model, such as an n-gram language model. The compression of a language model for use with small devices, such as mobile phones and other types of small devices, is also disclosed.

REFERENCES:
patent: 5418717 (1995-05-01), Su et al.
patent: 5627980 (1997-05-01), Schilit et al.
patent: 5818437 (1998-10-01), Grover et al.
patent: 5828991 (1998-10-01), Skiena et al.
patent: 5953541 (1999-09-01), King et al.
patent: 5974121 (1999-10-01), Perera et al.
patent: 6002390 (1999-12-01), Masui
patent: 6005495 (1999-12-01), Connolly et al.
patent: 6011544 (2000-01-01), Sato
patent: 6018736 (2000-01-01), Gilai et al.
patent: 6169538 (2001-01-01), Nowlan et al.
patent: 6271835 (2001-08-01), Hoeksma
patent: 6415248 (2002-07-01), Bangalore et al.
patent: 6621424 (2003-09-01), Brand
patent: 6741235 (2004-05-01), Goren
patent: 6782357 (2004-08-01), Goodman et al.
patent: 6789057 (2004-09-01), Morimoto et al.
patent: 6801190 (2004-10-01), Robinson et al.
patent: 2002/0126097 (2002-09-01), Savolainen
patent: 2002/0180689 (2002-12-01), Venolia
patent: 2002/0188448 (2002-12-01), Goodman et al.
patent: 2003/0011574 (2003-01-01), Goodman
F. Jelinek, “Self Organized Language Modeling for Speech Recognition”, Language Processing for Speech Recognition, pp. 450-503.
K. Seymore et al., “Scalable Backoff Language Models”, In Proc. ICSLP, vol. 1, pp. 232-235, Philadelphia, 1996.
Stolcke, “Entropy-based Pruning of Backoff Language Models”, Proc. DRAPA News Transcription and Understanding Workshop, pp. 270-274, Lansdowne, VA.
Chen et al., “An Empirical Study of Smoothing Techniques for Language Modeling”, TR-10-98, Computer Science Group, pp. 1-64, Harvard University, 1998.
Lehikoinen et al., “BinScroll: Rapid Selection Technique for Alphanumeric Lists”, CHI 2000, pp. 261-262, Apr. 1-6, 2000.
Ahlberg et al., “the Alphaslider: A Compact and Rapid Selector”, Proc. CHI 94, p. 365-371.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Machine learning contextual approach to word determination... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Machine learning contextual approach to word determination..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Machine learning contextual approach to word determination... will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-3561603

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.